11 citations · 23 across the 8 of their papers we have counts for
8 papers
A Dataset Similarity Evaluation Framework for Wireless Communications and Sensing
Joao Morais, Sadjad Alikhani, Akshay Malhotra +2
This paper introduces a task-specific, model-agnostic framework for evaluating dataset similarity, providing a means to assess and compare dataset realism and quality. Such a frame…
DeepSense-V2V: A Vehicle-to-Vehicle Multi-Modal Sensing, Localization, and Communications Dataset
Joao Morais, Gouranga Charan, Nikhil Srinivas +1
High data rate and low-latency vehicle-to-vehicle (V2V) communication are essential for future intelligent transport systems to enable coordination, enhance safety, and support dis…
Localization in Digital Twin MIMO Networks: A Case for Massive Fingerprinting
João Morais, Ahmed Alkhateeb
Localization in outdoor wireless systems typically requires transmitting specific reference signals to estimate distance (trilateration methods) or angle (triangulation methods). T…
Device-Agnostic Millimeter Wave Beam Selection using Machine Learning
Sajad Rezaie, João Morais, Ahmed Alkhateeb +1
Most research in the area of machine learning-based user beam selection considers a structure where the model proposes appropriate user beams. However, this design requires a speci…
DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset
Ahmed Alkhateeb, Gouranga Charan, Tawfik Osman +4
This article presents the DeepSense 6G dataset, which is a large-scale dataset based on real-world measurements of co-existing multi-modal sensing and communication data. The DeepS…
Multi-Modal Beam Prediction Challenge 2022: Towards Generalization
Gouranga Charan, Umut Demirhan, João Morais +3
Beam management is a challenging task for millimeter wave (mmWave) and sub-terahertz communication systems, especially in scenarios with highly-mobile users. Leveraging external se…
Position Aided Beam Prediction in the Real World: How Useful GPS Locations Actually Are?
João Morais, Arash Behboodi, Hamed Pezeshki +1
Millimeter-wave (mmWave) communication systems rely on narrow beams for achieving sufficient receive signal power. Adjusting these beams is typically associated with large training…
Location- and Orientation-aware Millimeter Wave Beam Selection for Multi-Panel Antenna Devices
Sajad Rezaie, João Morais, Elisabeth de Carvalho +2
While initial beam alignment (BA) in millimeter-wave networks has been thoroughly investigated, most research assumes a simplified terminal model based on uniform linear/planar arr…